Instructions to use fwtan/llama-1.1b-converted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fwtan/llama-1.1b-converted with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fwtan/llama-1.1b-converted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from fwtan/llama-1.1b-converted: direct link, hf CLI and curl.
- Browser
- Download file 1.29 kB
-
https://huggingface.co/fwtan/llama-1.1b-converted/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://fwtan/llama-1.1b-converted/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/fwtan/llama-1.1b-converted/resolve/main/tokenizer_config.json
1.29 kB
- Xet hash:
- 90136bc89725b03c71399754e1946d02c6e34c5c8f0291c7a57f8756acd987bf
- Size of remote file:
- 1.29 kB
- SHA256:
- 7b41ba7d0eb91e77914ca3dafde559ea3e19878769b7e68409e89bed5222e77a
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